Boron nitride nanosheets (BNNSs) possess many unmatched properties, including satisfactory thermal conductivity and stability, excellent mechanical performance, wide band gap. Nevertheless, the highly efficient exfoliation functionalization of BNNSs still remain an enormous challenge. In our work, we presented a facile synergistical method to acquire OH-functionalized (BNNS-OH) via calcination, plasma treatment, ultrasonic with high yield large concentration. Under optimized conditions,...

With the rapid development and popularization of new-generation technologies such as cloud computing, big data, artificial intelligence, construction smart grids has become more diversified. Accurate quick reading ... | Find, read cite all research you need on Tech Science Press

氮化硼纳米片也被称为"白色石墨烯",是一种重要的纳米填料,具有优异的机械性、导热性、耐磨性、阻隔性、疏水性,同时也是一种新兴的性能优良的绝缘材料.被广泛应用于重防腐涂层、润滑剂、传感器等领域.基于氮化硼纳米片在金属腐蚀防护领域巨大的应用前景,本综述将从氮化硼纳米片的制备及表面官能化、氮化硼薄膜防护涂层、氮化硼纳米片/有机防护涂层、氮化硼纳米片-无机复合材料/有机防护涂层这四部分进行系统总结,重点围绕氮化硼纳米片在有机涂层中均匀分散能力以及金属腐蚀防护能力等方面等进行详细分析和介绍,同时对氮化硼纳米片基防腐涂料未来发展进行了展望.

Graph Convolutional Neural Network (GCN) used for protocol recognition has a high dependence on the input graph structure. Due to changes in proprietary protocols by manufacturers, it is difficult establish an effective structure using traditional composition methods. To solve this problem, construction method based spectral clustering proposed. Improve similarity matrix of and choose Bray-Curtis distance calculate similarity, use subspace learning attribute selection eliminate influence...

Blockchain technology is playing an increasingly important role in the Management Information System especially data security aspect. In this paper, we propose a blockchain based system for distribution and traceability analysis Electric (EMIS). The smart contract studied to ensure of share system. experimental results indicate that proposed demo can efficiently support supply undeniable services EMIS.

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Abstract With the continuous improvement of infrastructure construction in China, various supporting power facilities is constantly followed up. A large number ultra-high voltage or high-voltage facilities, such as transmission towers, transformers, substations, are gradually emerging populated areas, farmland, fishponds where people still pass by sometimes. In circumstances, who do not have qualification to contact at times approach, contact, even climb these dangerous and distribution...

Recently, data in enterprises is showing an explosive trend, and many companies have begun to build or use centers for unified management mining of data. However, the visualization analysis China Taiwan has become a common problem industry. To deal with massive high-dimensional data, traditional methods are difficult find potential connection Therefore, this paper proposes dimensionality reduction method based on principal component analysis, good application prospect big processing energy...

The cloud platform is the company's new generation of information basic platform, and it an important support for driving IT data resource construction, application operation maintenance to enterprise level. This paper proposes a security protection framework model in environment, combined with power framework, design system applicable electric companies elaborated key technologies architecture environment. Finally, based on architecture, feasibility reliability were verified. summarize...

The power industry is accelerating the migration of business systems to cloud. knowledge graph in cloud environment can describe concepts, entities and relationships massive data a structured form, has ability understand, organize manage amounts information more efficiently. recognition named basic technology. This paper proposes an entity method. method based on two-way long short-term memory neural network, learns long-term dependence word vector sequence with help part speech features,...

Aiming at the problems of low accuracy and poor stability existing electricity load forecasting models, an improvement based on Graph Convolutional Network (GCN) Niche Immune Lion Algorithm (NILA) is proposed. Prediction model. First, niche immunity used to limit excessive repetition similar individuals, so as ensure population diversity lion algorithm significantly improve optimization performance algorithm. Then, search for optimal weights thresholds convolutional neural network. The...

In this paper, we propose an improved algorithm that integrates two - branch feature extraction and attention mechanism. By using the extracted map as input of mechanism, problem network degradation gradient disappearance can be solved, neglected image details captured. A two-branch mechanism was designed to expand capability refine edge information optimize network's uneven features at different scales. At same time, loss functions, cross entropy class unbalance function, are combined...

Based on the principle of coding check, this paper proposes a deep hash method serial coding, network, which is different from traditional method. In method, network layer structure designed as mode, and previous part code generated by checked in process generating code, so to make full use relevance redundancy encoding generate with more information, compact stronger discrimination. mAP used evaluation criterion for retrieval performance, proposed compared current mainstream The...

This paper proposes a codec model based on feature reinforcement and text knowledge supplement. In the coding stage, extracts fine-grained features of static objects in video through local global intensification, improves resolution similar semantics objects, integrates visual into long short-term memory (LSTM). decoding order to mine hidden information that is not easy be found by machine, part frame intercepted target detected. The obtained used extract from external language database...